Gideon Dror
Impact in
- Hardware and Architecture top 0.5%
- Physical Unclonable Functions (PUFs) and Hardware Security
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
-
- Topic Modeling 9
- Neural Networks and Applications 7
- Machine Learning and Data Classification 7
- Machine Learning and Algorithms 5
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- Face and Expression Recognition 8
- Co-authors
- Jan Sölter (2 shared papers)Frank Sehnke (2 shared papers)Srinivas Devadas (2 shared papers)Ulrich Rührmair (2 shared papers)Jürgen Schmidhuber (2 shared papers)Isabelle Guyon (16 shared papers)Yehuda Koren (5 shared papers)Eytan Ruppin (6 shared papers)
- Journals
- Neurocomputing (5 papers)Bioinformatics (2 papers)Journal of Machine Learning Research (2 papers)Neural Computation (2 papers)Neural Networks (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Gideon Dror
61 papers receiving 4.2k citations
Gideon Dror's Hit Papers
Peers
Comparison fields: 5 of 165
- Hardware and Architecture 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.6k
- Cellular and Molecular Neuroscience 662
- Computer Science Applications 215
Countries citing papers authored by Gideon Dror
This map shows the geographic impact of Gideon Dror's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gideon Dror with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gideon Dror more than expected).
Fields of papers citing papers by Gideon Dror
This network shows the impact of papers produced by Gideon Dror. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gideon Dror. The network helps show where Gideon Dror may publish in the future.
Co-authors
The 25 scholars most cited alongside Gideon Dror, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modeling attacks on physical unclonable functions Hit paper breakdown → | 2010 | 800 |
| 2 | PUF Modeling Attacks on Simulated and Silicon Data Hit paper breakdown → | 2013 | 493 |
| 3 | Result Analysis of the NIPS 2003 Feature Selection Challenge | 2004 | 354 |
| 4 | 2011 | 213 | |
| 5 | 2005 | 190 | |
| 6 | The Yahoo! Music Dataset and KDD-Cup'11 | 2011 | 165 |
| 7 | 2012 | 150 | |
| 8 | 2008 | 130 | |
| 9 | 2009 | 123 | |
| 10 | 2008 | 120 | |
| 11 | Model Selection: Beyond the Bayesian/Frequentist Divide | 2010 | 111 |
| 12 | 2004 | 102 | |
| 13 | 2007 | 97 | |
| 14 | 2012 | 89 | |
| 15 | 2012 | 86 | |
| 16 | 2010 | 78 | |
| 17 | Feature selection based on the Shapley value | 2005 | 77 |
| 18 | 2007 | 75 | |
| 19 | 2016 | 75 | |
| 20 | 2011 | 63 |
About Gideon Dror
Gideon Dror is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Cognitive Neuroscience and Molecular Biology, having authored 62 papers that have together received 4.4k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Face and Expression Recognition (8 papers), Expert finding and Q&A systems (7 papers), Neural Networks and Applications (7 papers), Machine Learning and Data Classification (7 papers), Data Mining Algorithms and Applications (6 papers), Evolutionary Psychology and Human Behavior (5 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Hardware and Architecture (1.3k citations), Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.6k citations), Cellular and Molecular Neuroscience (662 citations) and Computer Science Applications (215 citations). Gideon Dror has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Jan Sölter, Frank Sehnke, Srinivas Devadas, Ulrich Rührmair, Jürgen Schmidhuber, Isabelle Guyon, Yehuda Koren, Eytan Ruppin, Noam Koenigstein and Daniel Cohen‐Or. Their work appears in journals such as Neurocomputing, Bioinformatics, Journal of Machine Learning Research, Neural Computation and Neural Networks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.